Connection

Carlo De Cecco to Radiographic Image Interpretation, Computer-Assisted

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This is a "connection" page, showing publications Carlo De Cecco has written about Radiographic Image Interpretation, Computer-Assisted.
Carlo De Cecco
Connection Strength
5.430
Radiographic Image Interpretation, Computer-Assisted
  1. Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFRML): Impact of iterative and filtered back projection reconstruction techniques. J Cardiovasc Comput Tomogr. 2019 Nov - Dec; 13(6):331-335.
    View in: PubMed
    Score: 0.520
  2. Virtual unenhanced imaging of the liver with third-generation dual-source dual-energy CT and advanced modeled iterative reconstruction. Eur J Radiol. 2016 Jul; 85(7):1257-64.
    View in: PubMed
    Score: 0.437
  3. Coronary CT angiography in obese patients using 3(rd) generation dual-source CT: effect of body mass index on image quality. Eur Radiol. 2016 Sep; 26(9):2937-46.
    View in: PubMed
    Score: 0.427
  4. Approaches to ultra-low radiation dose coronary artery calcium scoring based on 3rd generation dual-source CT: A phantom study. Eur J Radiol. 2016 Jan; 85(1):39-47.
    View in: PubMed
    Score: 0.423
  5. Physician preference between low-dose computed tomography with a sinogram-affirmed iterative reconstruction algorithm and routine-dose computed tomography with filtered back projection in abdominopelvic imaging. J Comput Assist Tomogr. 2013 Nov-Dec; 37(6):932-6.
    View in: PubMed
    Score: 0.368
  6. Dual-energy CT: oncologic applications. AJR Am J Roentgenol. 2012 Nov; 199(5 Suppl):S98-S105.
    View in: PubMed
    Score: 0.343
  7. Ischemia and outcome prediction by cardiac CT based machine learning. Int J Cardiovasc Imaging. 2020 Dec; 36(12):2429-2439.
    View in: PubMed
    Score: 0.146
  8. Accuracy of an Artificial Intelligence Deep Learning Algorithm Implementing a Recurrent Neural Network With Long Short-term Memory for the Automated Detection of Calcified Plaques From Coronary Computed Tomography Angiography. J Thorac Imaging. 2020 May; 35 Suppl 1:S49-S57.
    View in: PubMed
    Score: 0.144
  9. Machine Learning and Deep Neural Networks Applications in Computed Tomography for Coronary Artery Disease and Myocardial Perfusion. J Thorac Imaging. 2020 May; 35 Suppl 1:S58-S65.
    View in: PubMed
    Score: 0.144
  10. Influence of Coronary Calcium on Diagnostic Performance of Machine Learning CT-FFR: Results From MACHINE Registry. JACC Cardiovasc Imaging. 2020 03; 13(3):760-770.
    View in: PubMed
    Score: 0.137
  11. Advanced atherosclerosis imaging by CT: Radiomics, machine learning and deep learning. J Cardiovasc Comput Tomogr. 2019 Sep - Oct; 13(5):274-280.
    View in: PubMed
    Score: 0.134
  12. Machine learning in cardiac CT: Basic concepts and contemporary data. J Cardiovasc Comput Tomogr. 2018 May - Jun; 12(3):192-201.
    View in: PubMed
    Score: 0.126
  13. Iterative beam-hardening correction with advanced modeled iterative reconstruction in low voltage CT coronary calcium scoring with tin filtration: Impact on coronary artery calcium quantification and image quality. J Cardiovasc Comput Tomogr. 2017 Sep - Oct; 11(5):354-359.
    View in: PubMed
    Score: 0.119
  14. Cinematic Rendering in CT: A Novel, Lifelike 3D Visualization Technique. AJR Am J Roentgenol. 2017 Aug; 209(2):370-379.
    View in: PubMed
    Score: 0.117
  15. Monoenergetic Dual-energy Computed Tomographic Imaging: Cardiothoracic Applications. J Thorac Imaging. 2017 May; 32(3):151-158.
    View in: PubMed
    Score: 0.117
  16. CT coronary calcium scoring with tin filtration using iterative beam-hardening calcium correction reconstruction. Eur J Radiol. 2017 Jun; 91:29-34.
    View in: PubMed
    Score: 0.116
  17. Optimization of window settings for standard and advanced virtual monoenergetic imaging in abdominal dual-energy CT angiography. Abdom Radiol (NY). 2017 03; 42(3):772-780.
    View in: PubMed
    Score: 0.116
  18. State-of-the-Art Pulmonary CT Angiography for Acute Pulmonary Embolism. AJR Am J Roentgenol. 2017 Mar; 208(3):495-504.
    View in: PubMed
    Score: 0.114
  19. Automated tube voltage selection for radiation dose and contrast medium reduction at coronary CT angiography using 3(rd) generation dual-source CT. Eur Radiol. 2016 Oct; 26(10):3608-16.
    View in: PubMed
    Score: 0.108
  20. Dual-Energy Computed Tomography Angiography of the Lower Extremity Runoff: Impact of Noise-Optimized Virtual Monochromatic Imaging on Image Quality and Diagnostic Accuracy. Invest Radiol. 2016 Feb; 51(2):139-46.
    View in: PubMed
    Score: 0.107
  21. Quantitative evaluation of beam-hardening artefact correction in dual-energy CT myocardial perfusion imaging. Eur Radiol. 2016 Sep; 26(9):3215-22.
    View in: PubMed
    Score: 0.106
  22. Reduced radiation dose and improved image quality at cardiovascular CT angiography by automated attenuation-based tube voltage selection: intra-individual comparison. Eur Radiol. 2014 Nov; 24(11):2677-84.
    View in: PubMed
    Score: 0.097
  23. Incremental value of pharmacological stress cardiac dual-energy CT over coronary CT angiography alone for the assessment of coronary artery disease in a high-risk population. AJR Am J Roentgenol. 2014 Jul; 203(1):W70-7.
    View in: PubMed
    Score: 0.096
  24. Feasibility of prospectively ECG-triggered high-pitch coronary CT angiography with 30 mL iodinated contrast agent at 70 kVp: initial experience. Eur Radiol. 2014 Jul; 24(7):1537-46.
    View in: PubMed
    Score: 0.095
  25. Monoenergetic extrapolation of cardiac dual energy CT for artifact reduction. Acta Radiol. 2015 Apr; 56(4):413-8.
    View in: PubMed
    Score: 0.094
  26. Automated quantification of epicardial adipose tissue using CT angiography: evaluation of a prototype software. Eur Radiol. 2014 Feb; 24(2):519-26.
    View in: PubMed
    Score: 0.092
  27. Dual-source CT coronary angiography: prospective versus retrospective acquisition technique. Radiol Med. 2011 Mar; 116(2):178-88.
    View in: PubMed
    Score: 0.075
  28. Dual-source CT in heart transplant recipients: quantification of global left ventricular function and mass. J Thorac Imaging. 2009 May; 24(2):103-9.
    View in: PubMed
    Score: 0.067
  29. Review of Clinical Applications for Virtual Monoenergetic Dual-Energy CT. Radiology. 2019 11; 293(2):260-271.
    View in: PubMed
    Score: 0.035
  30. Prognostic value of CT myocardial perfusion imaging and CT-derived fractional flow reserve for major adverse cardiac events in patients with coronary artery disease. J Cardiovasc Comput Tomogr. 2019 May - Jun; 13(3):26-33.
    View in: PubMed
    Score: 0.033
  31. High-pitch low-voltage CT coronary artery calcium scoring with tin filtration: accuracy and radiation dose reduction. Eur Radiol. 2018 Jul; 28(7):3097-3104.
    View in: PubMed
    Score: 0.031
  32. Iterative reconstruction improves detection of in-stent restenosis by high-pitch dual-source coronary CT angiography. Sci Rep. 2017 07 31; 7(1):6956.
    View in: PubMed
    Score: 0.030
  33. Accuracy of Noncontrast Quiescent-Interval Single-Shot Lower Extremity MR Angiography Versus CT?Angiography for Diagnosis of Peripheral Artery Disease: Comparison With Digital Subtraction Angiography. JACC Cardiovasc Imaging. 2017 10; 10(10 Pt A):1116-1124.
    View in: PubMed
    Score: 0.029
  34. CT angiography for planning transcatheter aortic valve replacement using automated tube voltage selection: Image quality and radiation exposure. Eur J Radiol. 2017 Jan; 86:276-283.
    View in: PubMed
    Score: 0.028
  35. Coronary CT angiography derived morphological and functional quantitative plaque markers correlated with invasive fractional flow reserve for detecting hemodynamically significant stenosis. J Cardiovasc Comput Tomogr. 2016 May-Jun; 10(3):199-206.
    View in: PubMed
    Score: 0.027
  36. A noise-optimized virtual monochromatic reconstruction algorithm improves stent visualization and diagnostic accuracy for detection of in-stent re-stenosis in lower extremity run-off CT angiography. Eur Radiol. 2016 Dec; 26(12):4380-4389.
    View in: PubMed
    Score: 0.027
  37. Effect of automated tube voltage selection, integrated circuit detector and advanced iterative reconstruction on radiation dose and image quality of 3rd generation dual-source aortic CT angiography: An intra-individual comparison. Eur J Radiol. 2016 May; 85(5):972-8.
    View in: PubMed
    Score: 0.027
  38. Image quality, radiation dose and diagnostic accuracy of 70 kVp whole brain volumetric CT perfusion imaging: a preliminary study. Eur Radiol. 2016 Nov; 26(11):4184-4193.
    View in: PubMed
    Score: 0.027
  39. MDCT classification of steatotic liver: a multicentric analysis. Eur J Gastroenterol Hepatol. 2015 Mar; 27(3):290-7.
    View in: PubMed
    Score: 0.025
  40. Dual-source CT imaging to plan transcatheter aortic valve replacement: accuracy for diagnosis of obstructive coronary artery disease. Radiology. 2015 Apr; 275(1):80-8.
    View in: PubMed
    Score: 0.025
  41. Reproducibility of noncalcified coronary artery plaque burden quantification from coronary CT angiography across different image analysis platforms. AJR Am J Roentgenol. 2014 Jan; 202(1):W43-9.
    View in: PubMed
    Score: 0.023
  42. First-arterial-pass dual-energy CT for assessment of myocardial blood supply: do we need rest, stress, and delayed acquisition? Comparison with SPECT. Radiology. 2014 Mar; 270(3):708-16.
    View in: PubMed
    Score: 0.023
  43. The optimal contrast media policy in CT of the liver. Part I: Technical notes. Acta Radiol. 2011 Jun 01; 52(5):467-72.
    View in: PubMed
    Score: 0.019
  44. Sixty-four-multidetector-row computed tomography angiography with bolus tracking to time arterial-phase imaging in healthy liver: is there a correlation between quantitative and qualitative scores? J Comput Assist Tomogr. 2010 Nov-Dec; 34(6):883-91.
    View in: PubMed
    Score: 0.019
  45. Dual-source CT for visualization of the coronary arteries in heart transplant patients with high heart rates. AJR Am J Roentgenol. 2008 Aug; 191(2):448-54.
    View in: PubMed
    Score: 0.016
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